AI Reshapes Delivery
Artificial intelligence is poised to materially reduce the amount of routine work performed across the IT services industry, according to Genpact, in a development that could alter hiring patterns across one of India's most important white-collar sectors. NV 'Tiger' Tyagarajan, the company's chief executive, said the impact of AI is already visible in the way companies think about productivity, staffing and the mix of skills required to deliver technology services.
Tyagarajan's remarks point to a broader industry transition in which automation is no longer being viewed merely as a cost-saving tool, but as a structural force that is changing how work is allocated. As AI systems take over repetitive, rules-based and process-heavy tasks, the need for large teams performing conventional support functions is likely to diminish. For an industry long built on labour arbitrage and scale, that shift carries significant implications for margins, hiring and long-term business models.
Hiring Growth Slows
The Genpact chief said employment growth rates have already started to dip, signalling that the sector may be entering a more measured phase of expansion. He added that the percentage addition of employees in India will not be the same as in the past, suggesting that the rapid headcount growth that defined the industry's earlier decades may not return in the same form.
That observation is especially relevant in India, where IT services firms have historically been among the largest private employers and a major source of entry-level jobs for engineering graduates and other skilled workers. If AI reduces the volume of work that requires human intervention, companies may hire more selectively, prioritising specialised roles over broad-based intake. The result could be a slower but more skill-intensive employment cycle.
The comments also reflect a growing recognition that AI adoption is not simply about replacing workers, but about redesigning workflows. Firms are increasingly expected to do more with fewer people, using technology to compress turnaround times and improve output quality. In that environment, headcount growth may no longer be the primary indicator of business health; instead, revenue per employee, automation intensity and skill depth may become more important metrics.
Skills Over Scale
Tyagarajan said the IT industry now requires a workforce with higher skill sets, a statement that captures the changing nature of demand across the sector. As clients seek more advanced digital transformation services, companies are under pressure to recruit talent capable of working with AI tools, data platforms, cloud systems, cybersecurity frameworks and complex enterprise applications.
This shift is likely to widen the gap between roles that can be automated and those that require judgment, domain expertise and technical sophistication. Entry-level positions focused on repetitive tasks may come under pressure, while demand could rise for engineers, architects, analysts and AI-literate professionals who can design, supervise and integrate automated systems into client operations.
For India's IT workforce, the message is clear: future growth will depend less on volume and more on capability. That has implications for training, reskilling and campus recruitment strategies across the industry. Companies may need to invest more heavily in upskilling existing employees and building internal talent pipelines that can keep pace with rapid technological change.
The broader market significance is equally notable. Investors have long valued Indian IT firms for their ability to scale profitably through large workforces and offshore delivery. If AI reduces the labour intensity of that model, it could improve productivity but also force a reassessment of how growth is generated and how much of it can be sustained through traditional hiring.
For now, Genpact's comments add to a growing body of evidence that AI is moving from experimentation to operational reality. The immediate effect may be fewer jobs added at the same pace as before, but the longer-term consequence could be a fundamentally different IT services industry: leaner, more automated and far more dependent on specialised human expertise.